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  ---
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- language:
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- - code
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  tags:
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- - code-generation
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- - ai-assistant
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- - code-completion
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- - python
 
 
 
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  license: mit
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  datasets:
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- - github-code
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- - stackoverflow
 
 
 
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  model-index:
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- - name: Jaleah AI Code Generator
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- results:
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- - task:
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- type: text-generation
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- name: Code Generation
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- dataset:
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- name: Python Code Corpus
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- type: generated
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- metrics:
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- - type: BLEU
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- value: experimental
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- - type: CodeBLEU
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- value: experimental
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- - type: perplexity
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- value: experimental
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Jaleah AI Code Generation Model
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  ## Model Description
 
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  ---
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+ language:
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+ - code
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  tags:
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+ - code-generation
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+ - ai-assistant
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+ - code-completion
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+ - python
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+ - machine-learning
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+ - transformer
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+ - gpt
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  license: mit
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  datasets:
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+ - github-code
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+ - stackoverflow
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+ - synthetic-code
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+ library_name: transformers
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+ pipeline_tag: text-generation
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  model-index:
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+ - name: Jaleah AI Code Generator
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+ results:
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+ - task:
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+ type: text-generation
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+ name: Code Generation
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+ dataset:
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+ name: Multi-Source Python Code Corpus
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+ type: mixed
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+ metrics:
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+ - type: code-generation
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+ name: Code Generation Score
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+ value: experimental
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+ - type: syntax-correctness
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+ name: Syntax Correctness Rate
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+ value: high
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+ - type: contextual-relevance
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+ name: Contextual Relevance
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+ value: moderate
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+ parameters:
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+ max_length:
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+ default: 200
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+ range:
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+ - 50
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+ - 500
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+ temperature:
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+ default: 0.7
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+ range:
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+ - 0.1
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+ - 1.0
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+ top_k:
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+ default: 50
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+ range:
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+ - 1
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+ - 100
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+ top_p:
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+ default: 0.95
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+ range:
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+ - 0.1
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+ - 1.0
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+ model_type: causal
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+ architectures:
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+ - GPTNeoForCausalLM
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+ training_config:
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+ base_model: microsoft/CodeGPT-small-py
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+ training_objective: causal-language-modeling
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+ compute_environment:
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+ - gpu
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+ - cloud
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+ training_time: ~3 hours
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+ hardware:
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+ - cuda
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+ - t4-gpu
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  ---
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+
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+
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  # Jaleah AI Code Generation Model
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  ## Model Description